Literature DB >> 29454133

Prevalence and risk factors for neural axis anomalies in idiopathic scoliosis: a systematic review.

Johan L Heemskerk1, Moyo C Kruyt2, Dino Colo2, René M Castelein2, Diederik H R Kempen3.   

Abstract

BACKGROUND: There is ongoing controversy about the routine use of magnetic resonance imaging (MRI) preoperatively in patients with presumed idiopathic scoliosis (IS). Routine MRI can help identify possible causes for the deformity and detect anomalies that could complicate deformity surgery. However, routine MRI increases health-care costs significantly and may reveal mild variations from normal findings without clinical relevance, which can still lead to anxiety and influence decision-making.
PURPOSE: Given the necessity to make evidence-based decisions both in the light of quality of care and cost control, the aim of this review is to report the prevalence of neural axis anomalies in IS and to identify risk factors associated with these anomalies. STUDY
DESIGN: A systematic review was carried out.
METHODS: An electronic search of PubMed, Embase, Cochrane, and Cinahl until May 2017 was performed. Studies were assessed by two reviewers independently according to predetermined inclusion (MRI in presumed IS) and exclusion criteria (diagnosis other than IS).
RESULTS: Fifty-one studies were included comprising 8,622 patients. In 981 patients, anomalies were found, resulting in an overall prevalence of 11.4%. The prevalence was 10.5%, 9.0%, and 14.2% when screening was performed of all IS patients, preoperative patients, or patients with presumed risk factors. The prevalence of a syrinx (3.7%), an Arnold-Chiari malformation (3.0%), or a combination of both (2.5%) was highest. Less frequent diagnoses included tethered cord (0.6%), an incidental malignancy (0.3%), and split cord malformations (0.2%). Risk factors for intraspinal anomalies included early-onset scoliosis, male gender, atypical curves, thoracic kyphosis, and abnormal neurologic findings such as reflexes and sensation.
CONCLUSIONS: This systematic review shows that a significant number of patients have intraspinal anomalies on preoperative MRI in (presumed) IS. The prevalence of finding spinal axis abnormalities increases in preselected patient groups with specific risk factors.
Copyright © 2018 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Chiari malformation; Idiopathic scoliosis; Magnetic resonance imaging; Neural axis anomalies; Prevalence; Risk factors; Syrinx

Mesh:

Year:  2018        PMID: 29454133     DOI: 10.1016/j.spinee.2018.02.013

Source DB:  PubMed          Journal:  Spine J        ISSN: 1529-9430            Impact factor:   4.166


  6 in total

1.  Scoliosis in patients with Chiari malformation type I.

Authors:  Mohammad Hassan A Noureldine; Nir Shimony; George I Jallo; Mari L Groves
Journal:  Childs Nerv Syst       Date:  2019-07-24       Impact factor: 1.475

2.  Cross-sectional analysis and trend of vertebral and associated anomalies in Chinese congenital scoliosis population: a retrospective study of one thousand, two hundred and eighty nine surgical cases from 2010 to 2019.

Authors:  Guanfeng Lin; Xiran Chai; Shengru Wang; Yang Yang; Jianxiong Shen; Jianguo Zhang
Journal:  Int Orthop       Date:  2021-06-01       Impact factor: 3.075

3.  New Association between Idiopathic Scoliosis and Luckenschadel Skull (Lacunar Skull).

Authors:  Aysel Vehapoglu
Journal:  Med Princ Pract       Date:  2021-12-07       Impact factor: 2.132

4.  Morphology and epidemiological study of idiopathic scoliosis among primary school students in Chaozhou, China.

Authors:  Zemin Cai; Ruibin Wu; Shukai Zheng; Zhaolong Qiu; Kusheng Wu
Journal:  Environ Health Prev Med       Date:  2021-07-03       Impact factor: 3.674

5.  An analysis of clinical risk factors for adolescent scoliosis caused by spinal cord abnormalities in China: proposal for a selective whole-spine MRI examination scheme.

Authors:  Wei Xu; Xiangyang Zhang; Ying Zhu; Xiaodong Zhu; Zhikun Li; Dachuan Li; Jianjun Jia; Liwei Chen; Silian Wang; Yushu Bai; Ming Li
Journal:  BMC Musculoskelet Disord       Date:  2020-03-24       Impact factor: 2.362

6.  Supervised and unsupervised learning to classify scoliosis and healthy subjects based on non-invasive rasterstereography analysis.

Authors:  Tommaso Colombo; Massimiliano Mangone; Francesco Agostini; Andrea Bernetti; Marco Paoloni; Valter Santilli; Laura Palagi
Journal:  PLoS One       Date:  2021-12-23       Impact factor: 3.240

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.